Bioluminescence Intensity Modeling and Sampling Strategy Optimization

Abstract

The focus of this paper is on the development of methodology for the short-term (1-3 days) oceanic bioluminescence (BL) predictions and the optimization of spatial and temporal bioluminescence sampling strategies. The approach is based on predictions of bioluminescence with an advection-diffusion-reaction (tracer) model with velocities and diffusivities from a circulation model. In previous research, it was shown that short-term changes in some of the salient features in coastal bioluminescence can be explained and predicted by using this approach. At the same time, it was demonstrated that optimization of bioluminescence sampling prior to the forecast is critical for successful short-term BL predictions with the tracer model. In the present paper, the adjoint to the tracer model is used to study the sensitivity of the modeled bioluminescence observations collected during August 2000 and 2003 in Monterey Bay, California, area. During August 2000, BL surveys were collected during a strong wind relaxation event, while in August 2003, BL surveys were conducted during an extended (longer than a week) upwelling-favorable event. The numerical bioluminescence predictability experiments demonstrated a close agreement between observed and model-predicted short-term spatial and temporal changes of the coastal bioluminescence.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2005
Accession Number
ADA455138

Entities

People

  • D. J. Mcgillicuddy Jr.
  • D. Nechaev
  • I. Shulman
  • J. C. Kindle
  • M. W. Phelps
  • Mark A. Moline
  • S. H. Haddock

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Advection
  • Agreements
  • Autonomous Underwater Vehicles
  • Bioluminescence
  • California
  • Diffusion
  • Diffusivity
  • Grids
  • Intensity
  • Luminescence
  • Military Research
  • Observation
  • Optimization
  • Sampling
  • Sensitivity
  • Upwelling

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers